Evidence map›Paper›PMID 36772325›Full record

ArticleSensors (Basel, Switzerland)2023

An Inexpensive Unmanned Aerial Vehicle-Based Tool for Mobile Network Output Analysis and Visualization.

Vittorio Buggiani, Julio César Úbeda Ortega, Guillermo Silva, Jesús Rodríguez-Molina, Diego Vilca

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Vittorio BuggianiDepartment of Telematics and Electronics Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
Julio César Úbeda OrtegaDepartment of Telematics and Electronics Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain.
Guillermo SilvaSecondary RADAR and Identification, Friend or Foe Section, Indra Sistemas, 28108 Alcobendas, Spain.
Jesús Rodríguez-MolinaDepartment of Telematics and Electronics Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-2761-6193
Diego VilcaSecondary RADAR and Identification, Friend or Foe Section, Indra Sistemas, 28108 Alcobendas, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Usage of Unmanned Aerial Vehicles (UAVs) for different tasks is widespread, as UAVs are affordable, easy to manoeuvre and versatile enough to execute missions in a reliable manner. However, there are still fields where UAVs play a minimal role regardless of their possibilities. One of these application domains is mobile network testing and measurement. Currently, the procedures used to measure the main parameters of mobile networks in an area (such as power output or its distribution in a three-dimensional space) rely on a team of specialized people performing measurements with an array of tools. This procedure is significantly expensive, time consuming and the resulting outputs leave a higher degree of precision to be desired. An open-source UAV-based Cyber-Physical System is put forward that, by means of the Galileo satellite network, a Mobile Data Acquisition System and a Graphical User Interface, can quickly retrieve reliable data from mobile network signals in a three-dimensional space with high accuracy for its visualization and analysis. The UAV tested flew at 40.43 latitude and -3.65 longitude degrees as coordinates, with an altitude over sea level of around 600-800 m through more than 40 mobile network cells and signal power displayed between -75 and -113 decibels.

Indexed as

Cyber-Physical Systemmobile networkUnmanned Aerial Vehicle

Identifiers

PMID36772325
PMCPMC9919163

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.